Yang‐Yang Chen

2.0k citations
140 papers · 1.6k · h-index 23

Impact in

Papers in

Yang‐Yang Chen

130 papers receiving 1.5k citations

Peers

Yang‐Yang Chen
Comparison fields: 5 of 124
  • Computer Networks and Communications 753
  • Control and Systems Engineering 664
  • Fluid Flow and Transfer Processes 93
  • Aerospace Engineering 271
  • Computational Theory and Mathematics 138
Replace Matthias A. Müller with:
Matthias A. Müller Germany
Kenneth R. Muske United States
Ye Li China
Liangliang Wang China
Yonggang Chen China
Katalin M. Hangos Hungary
Ricardo Sánchez‐Peña Argentina
Yang‐Yang Chen relative to Matthias A. Müller Germany Matthias A. Müller's profile →
Citations per field
00.5×3.6×
Matthias A. Müller · 1×
Citations per year

Countries citing papers authored by Yang‐Yang Chen

Since Specialization
Citations

This map shows the geographic impact of Yang‐Yang Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yang‐Yang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang‐Yang Chen more than expected).

Fields of papers citing papers by Yang‐Yang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yang‐Yang Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yang‐Yang Chen. The network helps show where Yang‐Yang Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Yang‐Yang Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yang‐Yang Chen Line = papers co-authored together Yang‐Yang Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018106
2 201967
3 201959
4 200856
5 201452
6 201950
7 202148
8 201346
9 202038
10 201737
11 202436
12 201136
13 201833
14 202033
15 201431
16 201530
17 201729
18 201928
19 202127
20 202126

About Yang‐Yang Chen

Yang‐Yang Chen is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Aerospace Engineering, Artificial Intelligence and Computational Theory and Mathematics, having authored 140 papers that have together received 1.6k indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (74 papers), Adaptive Control of Nonlinear Systems (51 papers), Guidance and Control Systems (16 papers), Adaptive Dynamic Programming Control (14 papers), Neural Networks Stability and Synchronization (14 papers), Reinforcement Learning in Robotics (10 papers), Control and Dynamics of Mobile Robots (8 papers) and Robotic Path Planning Algorithms (7 papers). The work is most often cited by research in Computer Networks and Communications (753 citations), Control and Systems Engineering (664 citations), Fluid Flow and Transfer Processes (93 citations), Aerospace Engineering (271 citations) and Computational Theory and Mathematics (138 citations). Yang‐Yang Chen has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yu‐Ping Tian, Ya Zhang, Cheng‐Lin Liu, Alessandro Astolfi, Kaiwen Chen, Rui Yu, He Li, Jianqin Fu, Liang Shan and Banglin Deng. Their work appears in journals such as Journal of the Franklin Institute, IET Control Theory and Applications, Nonlinear Dynamics, International Journal of Robust and Nonlinear Control and IEEE Transactions on Automatic Control.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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